20 papers · ranked by Valyu relevance
Quanlei Li, Edmond Pui Hang Choi, Maling Gou, Yali Tian + 1 more
1## Introduction When Florence Nightingale founded modern nursing, she emphasised observation, sanitation, compassion and scientific reasoning. Her vision of nursing as a science, an art and a social responsibility continues to inspire the profession. More than a century later, nursing is entering an era shaped by…
Agam Jain, Sreelakshmi Raveendran, Krishnan Padmakumari Sivaraman Nair, Subasree Ramakrishnan
This narrative review critically examines the fundamental principles and clinical applications of Brain-Computer Interfaces (BCIs) in neuroscience and mental health. We searched PubMed, Scopus, and PEDro databases using pre-defined keywords, with inclusion restricted to clinical studies. The manuscript provides an…
Sheng Wang, Xiaobin Song, Xiaopan Song, Yang Gu + 3 more
Title: Highlights 1. The latest advancements in neural signal decoding and the integration of flexible bioelectronics for non-invasive brain-computer interfaces are reviewed. 2. Multimodal data fusion, hardware-software co-optimization, and closed-loop control strategies are critical for enhancing the robustness…
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo + 6 more
Brain-computer interfaces (BCIs) have made consistent advances in supporting motor and communication functions; nevertheless, their adoption in everyday environments remains constrained by enduring challenges, including chronic instability at the electrode-tissue interface, motion-induced artifacts, inter-user…
Shiam, Abdullah Al, Molla, Md. Khademul Islam + 4 more
Department of Computer Science and Engineering, Netrokona University, Bangladesh (e-mail: shiam.cse@neu.ac.bd) Department of Computer Science and Engineering, University of Rajshahi, Bangladesh (e-mail: khademul.cse@ru.ac.bd) Graduate Dept. of Computer Science and Engineering, University of Aizu, Japan (e-mail…
Yuhao Sun, Danyang Chen, Qing Ye, Zheng You + 8 more
Alzheimer’s disease (AD) is a prevalent neurodegenerative disorder affecting the elderly, leading to important impairments in cognitive function and the ability to live independently. This results in substantial disability and places an increasing burden on families and society. Currently, the therapeutic approaches…
Xuan-The Tran
Millions of individuals worldwide suffer from sensory and communication deficits caused by neurodegenerative diseases, stroke, or trauma. Brain-computer interfaces (BCIs) offer a promising avenue for sensory and motor restoration. However, the scientific literature remains highly fragmented between invasive…
Byung-Hee Kwon, Minji Lee, Seong‐Whan Lee
This study introduces a pioneering approach in brain-computer interface (BCI) technology, featuring our novel concept of high-level visual imagery for non-invasive electroencephalography (EEG)-based communication. Highlevel visual imagery, as proposed in our work, involves the user engaging in the mental visualization…
Isabel Whiteley Tscherniak, Niels Christopher Thiemann, Ana McWhinnie-Fernández, Iustin Curcean + 11 more
Background: Brain-computer interfaces (BCIs) have shown significant promise over the past decades, but often fail to meet the requirements for portability and usability in real-world scenarios. Motivated by the Cybathlon 2024 competition, we developed a modular, online EEG-based BCI system to address these challenges…
Xuanci Zheng, João Araújo, Quentin Busson, Usha Goswami
Brain-computer interfaces (BCIs) have immense potential regarding the provision of therapies for disorders of development, but to date have typically been created for non-linguistic disorders such as ADHD (attention deficit hyperactivity disorder). Here we present a BCI that aims to improve linguistic phonological…
Maxim A. Karrenbach, Hanwen Wang, Zachary Johnson, Yidan Ding + 1 more
Brain-Computer interfaces (BCIs) offer a link between neural signals and external computation, enabling control of devices for the purposes of restoring function to motor-affected individuals and enhancing capabilities of a wider set of populations. Electroencephalography (EEG) offers a high temporal resolution for…
Ying Li, Jiaying Chen, Yu Wang, Jinghui Huang + 1 more
Objective To explore the current research landscape and emerging frontiers in the application of non-invasive brain-computer interface (BCI) technology in the field of stroke. Methods Publications related to non-invasive BCI technology in stroke were retrieved from the Web of Science Core Collection database between…
Nicholas S. Card, Tyler Singer-Clark, Hamza Peracha, Carrina Iacobacci + 7 more
Brain-computer interfaces (BCIs) can provide naturalistic communication and digital access to people with severe paralysis by decoding neural activity associated with attempted speech and movement. Recent work has demonstrated highly accurate intracortical BCIs for speech and cursor control, but two critical…
Yan Cheng, Xiangkui Guo, Lijia Dong, Qiang Deng + 2 more
Background Stroke is one of the leading causes of long-term disability in older worldwide. As an emerging neuromodulation intervention, closed-loop brain-computer interfaces (BCIs) aim to promote the reconstruction of the damaged cortex through real-time feedback mechanisms. This study aims to systematically review the…
Ji-Ha Park, Heon-Gyu Kwak, Gi-Hwan Shin, Yoo-In Jeon + 4 more
—Brain-computer interface (BCI) research, while promising, has largely been confined to static and fixed environments, limiting real-world applicability. To move towards practical BCI, we introduce a real-time wireless imagined speech electroencephalogram (EEG) decoding system designed for flexibility and everyday use.…
Houda Hafi, Bouziane Brik, Nuraini Jamil, Abdelkader Nasreddine Belkacem
Brain computer interface (BCI) enables the brain to directly control an external device by converting neural signals into actionable outputs. However, effective real-time translation of brain activity strongly depends on the quality of neural communication between the brain and the external device. 6G is the next…
Long Chen, Wanyi Qing, Lifen Mo, Xiaoke Chai + 5 more
Neurological injury affects hundreds of millions of people worldwide, yet the loss of motor or communication functions resulting from stroke, spinal cord injury, and neurodegenerative disease remains largely irreversible with existing therapies. Brain-computer interfaces (BCIs) offer a promising pathway for restoring…
Jules Gomel, Marie-Constance Corsi, Frédéric Dehais
Steady-state visual evoked potentials (SSVEPs) are widely used in cognitive neuroscience and brain–computer interfaces (BCIs), but the visual discomfort induced by repetitive luminance flicker limits their usability, particularly in multi-target settings due to strong peripheral distraction. Textured flicker composed…
Radu Darie, Samuel R. Parker, Jonathan S. Calvert, Ekta Tiwari + 7 more
Modern neuroelectronic interfaces have shown great potential to diagnose conditions, address neurological dysfunction, and advance neuroscientific knowledge. However, neural interface systems today require tethered connections that restrict mobility, prevent testing across ecological contexts, and inhibit clinical…
Christoph Reichert, Mircea Ariel Schoenfeld, Stefan Dürschmid
The primary goal of a brain-computer interface (BCI) is to enable interactions with the environment by generating control signals directly from brain activity, independent of physical movement including gaze shifts. Attentional selection of peripheral objects has been used to control a BCI but requires sufficient…